DocumentCode :
1505569
Title :
Energy-Efficient Hardware Data Prefetching
Author :
Guo, Yao ; Narayanan, Pritish ; Bennaser, Mahmoud Abdullah ; Chheda, Saurabh ; Moritz, Csaba Andras
Author_Institution :
Key Lab. of High-Confidence Software Technol., Peking Univ., Beijing, China
Volume :
19
Issue :
2
fYear :
2011
Firstpage :
250
Lastpage :
263
Abstract :
Extensive research has been done in prefetching techniques that hide memory latency in microprocessors leading to performance improvements. However, the energy aspect of prefetching is relatively unknown. While aggressive prefetching techniques often help to improve performance, they increase energy consumption by as much as 30% in the memory system. This paper provides a detailed evaluation on the energy impact of hardware data prefetching and then presents a set of new energy-aware techniques to overcome prefetching energy overhead of such schemes. These include compiler-assisted and hardware-based energy-aware techniques and a new power-aware prefetch engine that can reduce hardware prefetching related energy consumption by 7-11 ×. Combined with the effect of leakage energy reduction due to performance improvement, the total energy consumption for the memory system after the application of these techniques can be up to 12% less than the baseline with no prefetching.
Keywords :
microprocessor chips; storage management; energy-efficient hardware data prefetching; hardware-based energy-aware techniques; leakage energy reduction; memory latency; microprocessors; total energy consumption; Compiler analysis; data prefetching; energy efficiency; prefetch filtering; prefetch hardware;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2009.2032916
Filename :
5291706
Link To Document :
بازگشت